The Student Services team will have office hours at Harmony House (561 Lomita Dr, Stanford, CA 94305) on Tuesday and Thursday from 10 a.m. to 4 p.m.
Introduction to Matrix Methods
Formerly EE 103/ CME 103. Introduction to applied linear algebra with emphasis on applications. Vectors, norm, and angle; linear independence and orthonormal sets; applications to document analysis. Clustering and the k-means algorithm. Matrices, left and right inverses, QR factorization. Least-squares and model fitting, regularization and cross-validation. Constrained and nonlinear least-squares. Applications include time-series prediction, tomography, optimal control, and portfolio optimization. ENGR 108 and Math 104 cover complementary topics in applied linear algebra. The focus of ENGR 108 is on a few linear algebra concepts, and many applications; the focus of Math 104 is on algorithms and concepts.
Details:
- Catalog Number
- ENGR 108-01
- Class Number
- 22509
- Course Cost
- $6860.00
- Population
- High School, Undergraduate, Graduate
- Units
- 5
- Interest Area
- Computer Science and Engineering
- Course Format & Length
- In-Person, 8 weeks
- Instructors
- Julia Costacurta
- Dates
- -
- Prerequisites
-
MATH 51 or CME 100, and basic knowledge of computing ( CS 106A is more than enough, and can be taken concurrently).
- Course Notes
-
Undergraduate students should enroll for 5 units, and graduate students should enroll for 3 units.